An Effort to Detect Vehicle Drivers Drowsy State Based on the Speed Analysis

Abstract

Detection of the drivers drowsy state is still an actual task since it is a reason for a significant number of traffic accidents. The carried out literature review showed that a significant number of approaches rely on special equipment for driver state identification. At the same time, efficient operation of computer vision-based techniques heavily depends on the lighting conditions, which are usually not good in a moving car. The paper presents a research effort aiming at using speed recordings to identify the drivers state. For this purpose, the speed recordings are analyzed as a time series, and its characteristics are used as features for the classification task. The results show that the suggested approach is viable and promising.

Keywords

• vehicle
• driver monitoring
• driver's state identification
• machine learning